首页> 外文会议>International Seminar on Mine Planning >Integrated Photogrammetric Data Analysis and Discrete Fracture Network Modeling to Determine Rock Structure Around Excavation at El Teniente Mine
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Integrated Photogrammetric Data Analysis and Discrete Fracture Network Modeling to Determine Rock Structure Around Excavation at El Teniente Mine

机译:集成摄影测量数据分析与离散骨折网络建模,以确定EL Teniente矿区挖掘岩石结构

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In underground mining, the excavations instability problems depend essentially on the stresses and rock mass characteristics. The stresses are associated with in situ conditions (depth, tectonism or others) and with induced conditions by excavations (size and shape). It has been observed that in most of geotechnical instabilities at El Teniente mine (rock bursting and wedges) that always rock damage is structural controlled, and then it seems to be a relevant task during mining operations to get the best knowledge and description of the rock structure surrounding excavations.Discrete Fracture Network (DFN) modelling has been introduced in the mining industry as a way to obtain a better statistical representation of a fractured or structural controlled rock mass such as El Teniente primary ore. Because the parameters needed to build a DFN (orientation, size and intensity) are far more specific, the final result will be step forward in comparison with the use of traditional classification system.Recently technological innovation for tunnel geological mapping introduced at El Teniente mine such as the 3D digital photogrammetric allow to perform a detailed description of the rock fabric (rock structure) of the rock mass. A single photogrammetric file or image, named as Digital Terrain Models (DTM), represents between 3 and 4 meters of a tunnel development, and then more than 200 of geological strictures can be described in term of their basic parameters (dipdir, observed trace length and location in mine coordinate system).Through a detailed data collection of more than 70 DTMs from different mine sectors (Esmeralda and Reno), a methodology to build a DFN for each single tunnel advance is described in this work. Following the simulated sampling technique to obtain the discontinuity size and intensity considering different truncation bias a DFN that honor the observed structural data was reached. Main results indicate that vein intensity known as P32 m2/m3 (fractured area/volume) surrounding excavation within Cmet rock mass vary from 2 to 7 m2/m3 considering a sampling cut off by 0.5 meters.
机译:在地下采矿中,挖掘不稳定问题基本上取决于应力和岩石质量特征。应力与原位条件(深度,构造或其他)和通过挖掘(尺寸和形状)诱导条件相关。已经观察到,在El Teniente矿山(岩石爆裂和楔形)的大部分岩土技术中,总是岩石损坏是结构控制的,然后在采矿业务期间似乎是一个相关的任务,以获得岩石的最佳知识和描述结构周围的挖掘。在采矿业中介绍了裂缝骨折网络(DFN)建模作为获得骨折或结构控制岩体等更好统计表示的方法,如EL Teniente Migher Ore。因为构建DFN(方向,尺寸和强度)所需的参数更具体,所以与使用传统分类系统相比,最终结果将前进。在EL Teniente Mine介绍隧道地质映射的技术创新作为3D数码摄影测量允许执行岩石质量的岩石结构(岩石结构)的详细描述。作为数字地形模型(DTM)的单个摄影测量文件或图像,表示隧道开发的3米到4米,然后可以在其基本参数(Dipdir,观察到的痕量长度中超过200个地质狭窄和位置在挖掘坐标系中)。从不同的矿山(ESMeralda和Reno)的详细数据收集超过70多吨,在这项工作中描述了为每个隧道提前构建DFN的方法。在模拟的采样技术之后,考虑到不同截断偏差的不连续性大小和强度,达到尊重观察到的结构数据的DFN。主要结果表明,在岩石质量内围绕挖掘的P32 M2 / M3(裂缝区域/体积)的静脉强度从2至7平方米/ m3,考虑到0.5米的采样切断。

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